LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection

Olha Kaminska, Chris Cornelis, Veronique Hoste


Abstract
This paper describes the approach developed by the LT3 team in the Intended Sarcasm Detection task at SemEval-2022 Task 6. We considered the binary classification subtask A for English data. The presented system is based on the fuzzy-rough nearest neighbor classification method using various text embedding techniques. Our solution reached 9th place in the official leader-board for English subtask A.
Anthology ID:
2022.semeval-1.138
Volume:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
Month:
July
Year:
2022
Address:
Seattle, United States
Editors:
Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
987–992
Language:
URL:
https://aclanthology.org/2022.semeval-1.138
DOI:
10.18653/v1/2022.semeval-1.138
Bibkey:
Cite (ACL):
Olha Kaminska, Chris Cornelis, and Veronique Hoste. 2022. LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 987–992, Seattle, United States. Association for Computational Linguistics.
Cite (Informal):
LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection (Kaminska et al., SemEval 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.semeval-1.138.pdf
Video:
 https://aclanthology.org/2022.semeval-1.138.mp4
Code
 olha-kaminska/frnn_emotion_detection
Data
TweetEval